Optical feature extraction using the Radon transform and angular correlation

Oodaye B. Shukla; Bradley G. Boone

doi:10.1117/12.140916

12 January 1993 Optical feature extraction using the Radon transform and angular correlation

Oodaye B. Shukla, Bradley G. Boone

Proceedings Volume 1772, Optical Information Processing Systems and Architectures IV; (1993) https://doi.org/10.1117/12.140916
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

This paper describes two processing algorithms that can be implemented optically: the Radon transform and angular correlation. These two algorithms can be combined in one optical processor to extract all the basic geometric and amplitude features from objects embedded in video imagery. We show that the internal amplitude structure of objects is recovered by the Radon transform, which is a well-known result, but, in addition, we show simulation results that calculate angular correlation, a simple but unique algorithm, which extracts object length, width, area, aspect ratio, orientation and boundary from suitably thresholded images. In addition to being insensitive to scale and rotation, these simulations indicate that the features derived from angular correlation algorithm are relatively insensitive to tracking shifts and image noise. Some optical architecture concepts, including one based on micro-optical lenslet arrays, have been developed to implement these algorithms. We will discussed these architectures, stressing the micro-optical approach. Test and evaluation using simple synthetic object data will be described. We will also describe the results of a study that uses object boundary (derivable from angular correlation) to classify objects using a neural network.

Citation Download Citation

Oodaye B. Shukla and Bradley G. Boone "Optical feature extraction using the Radon transform and angular correlation", Proc. SPIE 1772, Optical Information Processing Systems and Architectures IV, (12 January 1993); https://doi.org/10.1117/12.140916

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
15 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Video

Hough transforms

Optical correlators

Radon transform

Neural networks

Detection and tracking algorithms

Sensors

Show All Keywords

Keywords/Phrases

Search In:

Publication Years